Sökning: "Sami Said Yahya"

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  1. 1. Construction of a machine learning training pipeline for merging AIS data with external datasources

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Sami Said Yahya; [2022]
    Nyckelord :AI; Machine Learning; Deep learning; AIS; anomaly detection; RNN; Maritime Traffic;

    Sammanfattning : Machine learning methods are increasingly being used in the maritime domain to predict traffic anomalies and to mitigate risk, for example avoiding collision and groundingaccidents. However, most machine learning systems used for detecting such issues hasbeen trained predominately on single data sources such as vessel positioning data. LÄS MER